An Interpretable XGBoost Framework for Predicting Oxide Glass Density
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DOI: 10.3390/app15158680
Abstract: Accurately predicting glass density is crucial for designing novel materials. This study aims to develop a robust predictive model for the density of oxide glasses and, more importantly, to investigate how physically informed feature engineering… read more here.
Keywords: glass density; model; density; interpretable xgboost ... See more keywords